feat: brainstorm sessions, PDF document Q&A, embedding fixes, and UI improvements
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- Add brainstorm feature with collaborative canvas, AI idea generation, live cursors, playback, and export - Add PDF upload/extraction/ingestion pipeline with pgvector document search (RAG) - Add document Q&A overlay with streaming chat and PDF preview - Add note attachments UI with status polling, grid layout, and auto-scroll - Add task extraction AI tool and agent executor improvements - Fix NoteEmbedding missing updatedAt column, re-index 66 notes with 1536-dim embeddings - Fix brainstorm 'Create Note' button: add success toast and redirect to created note - Fix memory echo notification infinite polling - Fix chat route to always include document_search tool - Add brainstorm i18n keys across all 14 locales - Add socket server for real-time brainstorm collaboration - Add hierarchical notebook selector and organize notebook dialog improvements - Add sidebar brainstorm section with session management - Update prisma schema with brainstorm tables, attachments, and document chunks
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docs/implementation-readiness-report.md
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stepsCompleted:
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- step-01-document-discovery
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- step-02-prd-analysis
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- step-03-epic-coverage-validation
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- step-04-ux-alignment
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- step-05-epic-quality-review
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- step-06-final-assessment
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includedFiles:
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- docs/prd.md
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---
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# Implementation Readiness Assessment Report
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**Date:** 2026-05-14
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**Project:** Momento
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## PRD Analysis
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### Functional Requirements
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FR1: Users can create, read, update, and delete rich-text notes within their workspace.
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FR2: Users can execute natural language semantic searches across their entire personal knowledge base.
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FR3: Users can organize notes within isolated workspaces and nested hierarchies.
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FR4: Users can upload PDF documents and extract text for AI contextual analysis (Chat-with-PDF).
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FR5: Users can invoke automated task extraction on any note to generate structured, actionable to-do lists.
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FR6: Users can leverage one-shot AI to automatically generate contextual tags and titles for their notes (Auto-Tagging / Auto-Titling).
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FR7: The system will proactively detect and surface semantic connections between disconnected notes in the background ("Memory Echo") to stimulate serendipitous discovery.
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FR8: Hosts can initialize a real-time collaborative Brainstorm session derived from an existing note.
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FR9: Guests can join a shared Brainstorm session via a frictionless sharing link without requiring an account.
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FR10: Users can visually map and generate ideas on a multi-directional radial graph (Canvas).
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FR11: Users can prompt AI within the shared session to generate specific ideation "Waves" (Variations, Analogies, Disruptions).
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FR12: Users can export the completed Brainstorm canvas to structured formats (Markdown, Branded PPTX).
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FR13: Users can monitor their remaining "AI Discovery Pack" or subscription usage limits via a real-time UI indicator.
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FR14: Users can input, update, and securely store their own third-party LLM API keys (BYOK) to bypass platform limits.
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FR15: Hosts can assume financial responsibility (token consumption) for all AI queries executed by guests within their active shared sessions.
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FR16: Users can upgrade to paid subscription tiers (Pro, Business, Enterprise) via an integrated payment gateway.
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FR17: Users can dynamically switch between supported AI providers (OpenAI, DeepSeek, Gemini, OpenRouter, etc.) for specific generation tasks.
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FR18: Administrators can configure smart-routing fallback rules to default to specific models under heavy load or quota exhaustion.
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FR19: Users can configure, schedule, and view the outputs of autonomous background agents (Scraper, Researcher, Monitor).
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FR20: Enterprise users can authenticate via Single Sign-On (SSO / SAML).
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FR21: Workspace administrators can view comprehensive audit logs detailing user access events and specific AI provider utilization.
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FR22: Workspace administrators can configure strict data residency requirements (e.g., EU-only storage) for their tenant.
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FR23: Administrators can programmatically enforce zero-data-retention headers/flags for all outbound third-party AI API requests.
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Total FRs: 23
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### Non-Functional Requirements
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NFR-P1 (Real-Time Latency): Brainstorm Canvas WebSocket events (e.g., node creation, cursor movement) must propagate to all connected clients within 150ms under normal network conditions.
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NFR-P2 (Search Speed): Vector-based semantic search queries must return initial results within 800ms for personal knowledge bases containing up to 10,000 notes.
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NFR-P3 (AI Routing): The internal LLM Router must evaluate "Host-Pays" and BYOK rules and dispatch the prompt to the external provider within 50ms of receiving the user request.
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NFR-S1 (Encryption): All user-provided LLM API keys (BYOK) must be encrypted at rest using AES-256-GCM.
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NFR-S2 (Data Residency): The architecture must support configurable regional database deployments, guaranteeing EU-only data storage for specified enterprise tenants.
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NFR-S3 (Auditability): The system must log 100% of LLM API requests, retaining anonymized provider routing and token consumption metrics for a minimum of 1 year to support future SOC2 compliance audits.
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NFR-SC1 (Collaborative Sessions): A single Brainstorm session must gracefully support up to 50 concurrent active users without degrading the 150ms latency target.
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NFR-SC2 (Rate Limiting): The Redis-backed entitlement system must process usage quota checks in under 10ms, supporting up to 5,000 concurrent verifications per second globally.
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NFR-R1 (Graceful Degradation): If a primary AI provider (e.g., OpenAI) returns a 429 (Rate Limit) or 500-series error, the LLM Router must automatically fallback to the designated secondary provider (e.g., DeepSeek) within 1.5 seconds.
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NFR-R2 (Availability): The core note-taking interface, database reads/writes, and offline access must maintain 99.9% uptime, functioning independently of any third-party AI provider outages.
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Total NFRs: 10
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### Additional Requirements
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Constraints & Assumptions:
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- "Host-Pays" + BYOK Model implementation limits API paywalls, but adds load logic constraints on the backend.
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- Phased delivery: MVP strictly limits Agent Ecosystem to phase 2 (except for underlying mechanics).
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- Massive multi-LLM integration (13 providers) must be maintained via an aggregation layer (like OpenRouter) for the long-tail models while using direct integration for high-volume ones.
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- SSO/SAML is a mandatory future-proofing design constraint even if fully deployed in later tiers.
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### PRD Completeness Assessment
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The PRD is highly complete, providing rigorous traceability between the user journeys, functional constraints, and system design specifications. All FRs and NFRs are explicitly defined and testable. The capability contract is solid.
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## Epic Coverage Validation
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*Note: As confirmed during Document Discovery, the Epics & Stories documents do not yet exist. The following validation serves as a baseline map of what MUST be covered when the Epics are created in the next phase.*
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### Coverage Matrix
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| FR Number | PRD Requirement | Epic Coverage | Status |
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| --------- | --------------- | -------------- | --------- |
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| FR1 | Users can create, read, update, and delete rich-text notes within their workspace. | **NOT FOUND** | ❌ MISSING |
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| FR2 | Users can execute natural language semantic searches across their entire personal knowledge base. | **NOT FOUND** | ❌ MISSING |
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| FR3 | Users can organize notes within isolated workspaces and nested hierarchies. | **NOT FOUND** | ❌ MISSING |
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| FR4 | Users can upload PDF documents and extract text for AI contextual analysis (Chat-with-PDF). | **NOT FOUND** | ❌ MISSING |
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| FR5 | Users can invoke automated task extraction on any note to generate structured, actionable to-do lists. | **NOT FOUND** | ❌ MISSING |
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| FR6 | Users can leverage one-shot AI to automatically generate contextual tags and titles for their notes (Auto-Tagging / Auto-Titling). | **NOT FOUND** | ❌ MISSING |
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| FR7 | The system will proactively detect and surface semantic connections between disconnected notes in the background ("Memory Echo") to stimulate serendipitous discovery. | **NOT FOUND** | ❌ MISSING |
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| FR8 | Hosts can initialize a real-time collaborative Brainstorm session derived from an existing note. | **NOT FOUND** | ❌ MISSING |
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| FR9 | Guests can join a shared Brainstorm session via a frictionless sharing link without requiring an account. | **NOT FOUND** | ❌ MISSING |
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| FR10 | Users can visually map and generate ideas on a multi-directional radial graph (Canvas). | **NOT FOUND** | ❌ MISSING |
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| FR11 | Users can prompt AI within the shared session to generate specific ideation "Waves" (Variations, Analogies, Disruptions). | **NOT FOUND** | ❌ MISSING |
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| FR12 | Users can export the completed Brainstorm canvas to structured formats (Markdown, Branded PPTX). | **NOT FOUND** | ❌ MISSING |
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| FR13 | Users can monitor their remaining "AI Discovery Pack" or subscription usage limits via a real-time UI indicator. | **NOT FOUND** | ❌ MISSING |
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| FR14 | Users can input, update, and securely store their own third-party LLM API keys (BYOK) to bypass platform limits. | **NOT FOUND** | ❌ MISSING |
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| FR15 | Hosts can assume financial responsibility (token consumption) for all AI queries executed by guests within their active shared sessions. | **NOT FOUND** | ❌ MISSING |
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| FR16 | Users can upgrade to paid subscription tiers (Pro, Business, Enterprise) via an integrated payment gateway. | **NOT FOUND** | ❌ MISSING |
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| FR17 | Users can dynamically switch between supported AI providers (OpenAI, DeepSeek, Gemini, OpenRouter, etc.) for specific generation tasks. | **NOT FOUND** | ❌ MISSING |
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| FR18 | Administrators can configure smart-routing fallback rules to default to specific models under heavy load or quota exhaustion. | **NOT FOUND** | ❌ MISSING |
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| FR19 | Users can configure, schedule, and view the outputs of autonomous background agents (Scraper, Researcher, Monitor). | **NOT FOUND** | ❌ MISSING |
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| FR20 | Enterprise users can authenticate via Single Sign-On (SSO / SAML). | **NOT FOUND** | ❌ MISSING |
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| FR21 | Workspace administrators can view comprehensive audit logs detailing user access events and specific AI provider utilization. | **NOT FOUND** | ❌ MISSING |
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| FR22 | Workspace administrators can configure strict data residency requirements (e.g., EU-only storage) for their tenant. | **NOT FOUND** | ❌ MISSING |
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| FR23 | Administrators can programmatically enforce zero-data-retention headers/flags for all outbound third-party AI API requests. | **NOT FOUND** | ❌ MISSING |
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### Missing Requirements
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All 23 Functional Requirements are currently pending Epic creation. They must be translated into development epics before implementation begins.
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### Coverage Statistics
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- Total PRD FRs: 23
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- FRs covered in epics: 0
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- Coverage percentage: 0%
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## UX Alignment Assessment
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### UX Document Status
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**Not Found** (Explicitly acknowledged by the product team).
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### Alignment Issues
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Cannot be assessed as no UX documentation exists to map against the PRD.
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### Warnings
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⚠️ **WARNING: UX/UI is heavily implied by the PRD.**
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The PRD outlines highly specific interfaces such as a "Real-time D3 radial graph (Canvas)", "Chat-with-PDF", and "Real-time UI indicators for token consumption".
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Architecture defines a Next.js App Router and D3.js implementation.
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**Action Required:** UX Design specifications MUST be created and validated to ensure they align with the real-time constraints and the "Host-Pays" UI paradigms before frontend implementation begins.
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## Epic Quality Review
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### Quality Assessment Status
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**Not Performed**
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As there are no Epics or Stories yet, we cannot evaluate Epic independence, User Value focus, or forward dependencies.
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### Recommendations for Upcoming Epic Creation
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When transitioning to the Epics creation phase, the team must adhere strictly to these rules:
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- **User Value Focus:** Epics must not be technical milestones (e.g., "Setup Database"). They must represent a feature slice (e.g., "User executes semantic search").
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- **Strict Independence:** Epic 2 must not depend on features built in Epic 3.
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- **Story Independence:** Stories within an epic must not contain forward dependencies.
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- **Traceability:** Every Epic must explicitly map back to the 23 FRs defined in the PRD.
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## Summary and Recommendations
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### Overall Readiness Status
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**NEEDS WORK** (Specifically: Needs Epic & UX Creation Phase)
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### Critical Issues Requiring Immediate Action
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1. **Missing Epics and Stories:** The project cannot enter the implementation phase without translating the 23 Functional Requirements into Epics and User Stories.
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2. **Missing UX Documentation:** Given the heavy UI implications in the PRD (real-time canvas, chat interface, dashboard), wireframes or UX specifications must be created to align with the proposed architecture.
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### Recommended Next Steps
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1. Execute the `bmad-create-ux-design` workflow to solidify the interface logic implied by the PRD.
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2. Execute the `bmad-create-epics-and-stories` workflow, rigorously ensuring all 23 FRs are mapped to independent, user-value-focused epics.
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3. Rerun this Implementation Readiness Assessment once Epics and UX are established to validate full traceability and coverage.
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### Final Note
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This assessment successfully parsed the robust PRD and Architecture documents but identified major expected gaps in the Epic and UX phases. Address these critical missing documents by moving to the next strategic planning phase before proceeding to engineering implementation.
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